Evidence map›Paper›PMID 41610168›Full record

ArticleAnalytical chemistry2026

Retrieval-Augmented Language Models Enable Scalable Chemical Source Classification in Metabolomics Workflows.

Prajit Rajkumar, Runbang Tang, Harshada Sapre, Jasmine Zemlin, Victoria Deleray, Jeong In Seo, Siddharth Mohan, Shipei Xing, Harsha Gouda, Yasin El Abiead and 3 more

Abstract read
In one paragraph

Article in Analytical chemistry, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Prajit RajkumarCollaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, California 92093, United States.ORCID 0009-0002-5538-5270
Runbang TangCollaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, California 92093, United States.
Harshada SapreCollaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, California 92093, United States.
Jasmine ZemlinCollaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, California 92093, United States.
Victoria DelerayCollaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, California 92093, United States.
Jeong In SeoCollaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, California 92093, United States.ORCID 0000-0003-0365-925X
Siddharth MohanSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, United States.
Shipei XingCollaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, California 92093, United States.
Harsha GoudaCollaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, California 92093, United States.
Yasin El AbieadCollaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, California 92093, United States.
Shirley M TsunodaSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California 92093, United States.
Haoqi Nina ZhaoCollaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, California 92093, United States.ORCID 0000-0003-3908-630X
Pieter C DorresteinCollaborative Mass Spectrometry Innovation Center, University of California San Diego, La Jolla, California 92093, United States.ORCID 0000-0002-3003-1030

Funding

Project 4 - Mechanistic studies on the role of the gut microbiome in models for Alzheimer's diseaseU19AG063744 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Rima F Kaddurah-Daouk · 2019 to 2026
$54.1M
The impact of ampicillin and breast milk oligosaccharides on the infant microbiome and immune functionsP50HD106463 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ADRIANA H TREMOULET · 2021 to 2026
$19.6M
The Role of Chemical Exposures in Alzheimer's Disease (AD) and its TrajectoryU01AG088562 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Oliver Fiehn, LEE E. GOLDSTEIN · 2024 to 2026
$7.2M
Collaborative Microbial Metabolite CenterU24DK133658 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PIETER C DORRESTEIN · 2022 to 2026
$2.9M
Reverse Metabolomics for the Discovery of Disease Associated Microbial MoleculesR01DK136117 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PIETER C DORRESTEIN · 2023 to 2026
$2.9M
Mapping Xenobiotic Metabolism by the Human Gut MicrobiomeK99ES037746 · NIEHS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI ZHAO, HAOQI NINA · 2025 to 2025
$95k
NIA NIH HHS U01 AG088562NIA NIH HHS U19 AG063744NICHD NIH HHS P50 HD106463NIDDK NIH HHS R01 DK136117NIDDK NIH HHS U24 DK133658NIEHS NIH HHS K99 ES037746
6 · The paper itself

Abstract

There is a growing need for scalable chemical classification to support the interpretation of exposomics and metabolomics data. While structural categorization has been largely automated, functional and exposure-based labeling of chemicals remains a manual and time-consuming process. Here, we present

Indexed as

MetabolomicsAnimalsHumansLarge Language ModelsMiceWorkflow

Identifiers

PMID41610168
PMCPMC12903069

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.